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README.md

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@@ -109,7 +109,7 @@ Recognizing Objects. Detect different shapes, faces, people, and learn how to tr
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| [Face Analysis and Filtering](Sec06_Augmented_Reality/01_Facial_Landmarks/01_Facial_Landmarks.ipynb) | <img src="Sec06_Augmented_Reality/01_Facial_Landmarks/image_with_landmarks.jpg" width="90" height="70"> | Locating a face in an image and returning a bounding rectangle / square that contains the face — was a hot research area. |
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| [Face Reader (Yawn Detector)](Sec06_Augmented_Reality/04_Yawn_Detector_and_Counting/04_Yawn_Detector_and_Counting.ipynb) | <img src="Sec06_Augmented_Reality/04_Yawn_Detector_and_Counting/facial_landmark.png" width="90" height="70"> | Detecting drowsiness in drivers is not an easy task. If you want to develop a robust algorithm, first step is to robustly detect the face and track it over time.|
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| [Object Detector - AR </br> (Keras/TensorFlow)](https://github.com/rchavezj/OpenCV_Projects/blob/master/Sec06_Augmented_Reality/06/06_Augmented_Machine_Learning.ipynb) | <img src="https://github.com/rchavezj/OpenCV_Projects/blob/master/images/Object_Detector_AR.gif" width="240" height="70" /> | This application is going to perform object detection from training data gathered on the webcam. The model will be coded in Keras. |
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| [Object Detector - AR </br> (Keras/TensorFlow)](https://github.com/rchavezj/OpenCV_Projects/blob/master/Sec06_Augmented_Reality/06_Augmented_Machine_Learning/06_Augmented_Machine_Learning.ipynb) | <img src="https://github.com/rchavezj/OpenCV_Projects/blob/master/images/Object_Detector_AR.gif" width="240" height="70" /> | This application is going to perform object detection from training data gathered on the webcam. The model will be coded in Keras. |
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